urbanixm gives a data-driven view of sustainable cities, aiding local stakeholders in finding inspiration and evidence on which to base their transition to environmental and social sustainability.
urbanixm stories are portraits of the global impact of urban infrastructure and policy, together with narrated analysis of urban data to capture local context.
Our work stands on two technical pillars: a content processing engine to extract urban knowledge from the Web and a toolbox for flexible analysis of urban data.
Knowledge Discovery Engine
The Urban Knowledge Discovery Engine is an AI powered content processing pipeline used to create an urban knowledge repository, by crawling websites related to urbanism (city websites, blogs, news, research reports, etc.) and extracting information about urban policy and infrastructure interventions, with a special attention to their sustainability impact.
Data Analysis Toolbox
In our Urban Data Analysis Toolbox we apply a mixture of open-source tools and our proprietary algorithms to collect aggregate, analyze and visualize urban data to generate data-driven insights that helps construct a data centric view of local context.
